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prediction analytics cases and attempt the prediction of business scenarios such as customer behavior (shopping and consumption trends), product supply and demand prediction, fraud detection, risk assessment, customer churn rates, and sales and margin predictions. Predictive analytics applications are those software utilities that enable users to perform such tasks, and because of this nature, predictive analysis and overall data mining techniques are often the basis for many more specific types of business analytics tools, s

Recruitment and Staffing functionality allows the user to select and hire the right people with the right skill sets, as well as track the information regarding their recruitment for later analysis. It covers criteria such as Organization Structures and Modeling, Corporate Branding, Sourcing, Applicant Tracking, Assessment and Selection, Governance and Compliance, Vendor Management Systems (VMS) Portal, Recruitment Analytics and Reporting, and Product Technology.

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A couple of weeks ago when I was on briefed on KXEN, the predictive analytics technology provider, I was completely unaware of the deal that was being struck behind the scenes between KXEN and the German software giant SAP, which culminated in KXEN’s acquisition by SAP. The more I think about it, the more this seems to me to be another impactful acquisition by SAP, with KXEN serving as a key

Traditionally, SAP has not been a leader in predictive analytics, at least not until its acquisition of Business Objects and the advent of SAP HANA. SAP has announced its plans to acquire KXEN, a provider of predictive analytics technology. KXEN is intended to complement SAP Predictive Analysis software, a workbench for defining, executing, and visualizing predictive analysis.
With increasingly

Enterprise applications have long been providing the means for businesses to collect required data and deliver it to the right people. Now that sales and marketing professionals are empowered with the right tools to better serve their customers and gather insights on all customers' interactions, the question to ask is what's next? We see the answer in a tight integration between Enterprise applications and Analytics.

A comprehensive performance enhancement suite, Redwood Analytics helps the right people at your firm run the business of law in a better, smarter, more intelligent way. Convert your firm data into usable information and insightful assessments about profitability, firm trends, client segments, and productivity, and share that financial and performance intelligence with the right people through dashboard displays, predictive insights, reports, and alerts that build understanding and encourage action that will mitigate risk and enhance performance.

Bio Medical Research (BMR) was replacing its core enterprise resource planning (ERP) solution, and saw this as an opportunity to enhance its business analytics capabilities. And as a midsized business, BMR wanted to find an affordable solution that would offer enterprise-class functionality. Download this case study to learn about the way IBM Cognos Express helped BMR tone up its sales performance with advanced analytics.

Talent analytics is one of the most misunderstood areas of human capital management (HCM). With conflicting definitions regarding what it is and various ideas of how it should be leveraged, most organizations default to an approach to data that is relatively immature. Less than one-third of companies combine talent data with business data to measure the impact on organizational performance. As the demands of business escalate, human resources (HR) professionals must be prepared to provide insight, decisions, and predictions about the talent that is in place today as well as the talent needed for the future. This report, based on research conducted in November and December 2013, will address the key trends and best practices for using talent analytics to drive business success.

This TDWI Best Practices Report examines organizations’ current practices and future plans for customer analytics technology implementations, with a special focus on how organizations are adapting to the knowledge potential as well as challenges of social media networks. The report offers recommendations for achieving greater return on investment (ROI) from customer analytics processes.

Purpose-built for agility, Birst’s business analytics platform it a multitenant cloud solution with the flexibility for organizations to choose where their data is hosted. A software-as-a-service (SaaS) solution like Birst can significantly lower the cost of resource required to implement and maintain a business intelligence (BI) solution. This paper provides a technical overview of the Birst platform, including its architecture, components, functionality, and approach to user experience.